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Updated: Sep 13, 2025

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主导分类器辅助的混合进化多目标神经架构搜索

Yu Xue1, Keyu Liu1, Ferrante Neri1,2

  • 1School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China.

International journal of neural systems
|July 31, 2025
PubMed
概括

CHENAS加速神经架构搜索 (NAS) 实现多目标深度学习,使用混合进化方法. 它采用了新的分类器和自动编码器,以提高预测准确性和神经网络设计的效率.

关键词:
神经架构搜索神经架构搜索进化算法是一种进化算法.多目标优化多目标优化通过代理母亲的协助.

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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